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LOTC-Wong

2025 Mixed 18 & Over · 7.0 Mixed

9 players · average NTRP 3.67 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.54 estimated across 7 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.78
Shane Wilson
published 4
—
Daniel Paul
usually #1 Doubles 83%, also #2 Doubles 17% · published 4
3.75
Jenica Susi
usually #2 Doubles 63%, also #1 Doubles 25% · published 4
3.72
Kenny Wong
usually #3 Doubles 60%, also #2 Doubles 20% · published 4
3.45
Kevin Jian
usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5
3.42
Jeremy Chiang
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
3.33
Karen Barks
usually #1 Doubles 80%, also #3 Doubles 20% · published 3.5
3.30
Kari Hastings
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
—
Genelynne Jian
usually #1 Doubles 60%, also #3 Doubles 40% · published 3
Results8 ties
2024-12-08Won 2–1
L#1 DoublesHayley Cottrell / Kenny Wong vs Ariana White / Nate Larsen3-6, 6-1, 1-0
W#2 DoublesJenica Susi / Shane Wilson vs Keith Main / Nina Hanson6-2, 6-4
W#3 DoublesKari Hastings / Gabe Gardner vs Fiona Tait / Scott Reis6-0, 6-2
2024-11-24Won 2–0
W#1 DoublesKari Hastings / Gabe Gardner vs N/A6-0, 6-0
W#3 DoublesGenelynne Jian / Kevin Jian vs N/A6-0, 6-0
2024-11-17Won 2–1
L#1 DoublesHayley Cottrell / Kevin Jian vs Melissa Dollar / Corey Buchanan6-4, 6-2
W#2 DoublesJennifer Tran / Jeremy Chiang vs Kiera Hanrahan / Spencer Byrd6-2, 6-2
W#3 DoublesKaren Barks / Kenny Wong vs Monique Gill / Armaundo Bradford6-3, 6-3
2024-11-02Won 2–1
L#1 DoublesDaniel Paul / Karen Barks vs Nick Hooker / Jane Paulsen7-6, 7-5
W#2 DoublesShane Wilson / Jenica Susi vs Brad Johnson / Wendi Ouellette7-5, 5-7, 1-0
W#3 DoublesKenny Wong / Kari Hastings vs Christian Paulsen / Callen Sterling6-4, 6-4
2024-10-27Lost 1–2
L#1 DoublesGenelynne Jian / Shane Wilson vs Ariana White / Nate Larsen6-1, 6-1
L#2 DoublesKari Hastings / Kenny Wong vs Nina Hanson / Ernesto Rodriguez5-7, 6-4, 1-0
W#3 DoublesJennifer Tran / Jeremy Chiang vs Elizabeth Schwarz / Ryan Manwiller6-1, 6-3
2024-10-20Won 3–0
W#1 DoublesKaren Barks / Kenny Wong vs Seungja Shin / Seungho Ham6-4, 6-4
W#2 DoublesJennifer Tran / Jeremy Chiang vs Woohyung Kim / Jungyoon Kim6-1, 6-0
W#3 DoublesJenica Susi / Shane Wilson vs Mihye Ko / Liam Eom6-2, 7-5
2024-10-06Split 1–1
W#1 DoublesKaren Barks / Daniel Paul vs Paul Kreiter / Alexis Pond7-6, 6-4
L#3 DoublesKevin Jian / Hayley Cottrell vs Karan Kapur / Mai-Anh Nguyen6-2, 6-4
2024-09-06Won 2–1
W#1 DoublesKaren Barks / Daniel Paul vs Shawn Boyce / Jill Boyce7-5, 6-3
L#2 DoublesKenny Wong / Hayley Cottrell vs Yvonne Qiu / Shawn Yu6-4, 6-1
W#3 DoublesJeremy Chiang / Jennifer Tran vs Helen Chen / Martin von Haartman6-4, 7-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits.

4
Shane Wilson
15W–13L career
1%97%2%
3.78
4
Daniel Paul
28W–16L career
not enough data
—
4
Jenica Susi
74W–34L career
1%99%0%
3.75
4
Kenny Wong
93W–49L career
2%97%0%
3.72
3.5
Kevin Jian
41W–18L career
0%85%15%
3.45
3.5
Jeremy Chiang
38W–21L career
0%90%10%
3.42
3.5
Karen Barks
35W–20L career
0%97%3%
3.33
3.5
Kari Hastings
88W–75L career
0%99%1%
3.30
3
Genelynne Jian
25W–23L career
not enough data
—

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.